Researchers from Taiyuan University of Technology Report Recent Findings in Flood Risk Management (Flood Forecasting Methods for a Semi-arid and Semi-humid Area In Northern China): Risk Management – Flood Risk Management

2022 JUL 26 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Investigators publish new report on Risk Management - Flood Risk Management. According to news reporting originating in Taiyuan, People’s Republic of China, by NewsRx journalists, research stated, “The Double-Excess (DE) model is a flood forecasting model which was developed to reflect the characteristics of runoff generation in semi-arid and semi-humid areas. However, the empirical unit hydrograph used in the subbasin confluence module often has low precision because of the difficulty associated with parameter quantification.”

Funders for this research include National Key Research and Development Program of China, Natural Science Foundation of Shanxi Province, Shanxi Provincial Department of Water Resources, China.

The news reporters obtained a quote from the research from the Taiyuan University of Technology, “This study improves the subbasin confluence module of the DE model by coupling the geomorphologic instantaneous unit hydrograph (GIUH) to establish the improved DE model (DE-GIUH) to calculate the subbasin confluence based on topographic physical characteristics. The improved model is applied to the Wangjiahui Hydrological Station Basin in Northern China. Compared with the conventional DE model and the widely used hydrologic modelling system (HEC-HMS) model, the results show that DE-GIUH improved flood forecasting, including the component peak discharge, flood peak appearance time and flood progress. The qualified rate (QR) of all three models reached grade A (QR >= 85.0%). However, the proportion of the deterministic coefficient (DC) reaching grade B or above (DC >= 0.70) improved from 50% (HEC-HMS) and 30% (DE) to 90% (DE-GIUH) in the calibration period, and from 62.5% and 25% to 75% in the validation period. In particular, for large and medium floods, the proportion of DC reaching grade B and above is 100% for DE-GIUH, which is much higher than that of the other two models.”

According to the news reporters, the research concluded: “The proposed improved model provides an alternative method for flood prediction in ungauged areas.”

For more information on this research see: Flood Forecasting Methods for a Semi-arid and Semi-humid Area In Northern China. Journal of Flood Risk Management, 2022. Journal of Flood Risk Management can be contacted at: Wiley, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - http://www.wiley.com/; Journal of Flood Risk Management - http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1753-318X)

Our news correspondents report that additional information may be obtained by contacting Xueping Zhu, Taiyuan University of Technology, College of Water Resources Science & Engineering, Taiyuan 030024, People’s Republic of China. Additional authors for this research include Yu Zhang, Yankuan Liang, Xuehua Zhao, Wenjun Cai, Yang Li and Wei Qi.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1111/jfr3.12831. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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